Pandas Profiling Report

Dataset statistics

Number of variables	25
Number of observations	77414
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	17.4 MiB
Average record size in memory	235.3 B

Variable types

Numeric	14
Categorical	4
DateTime	4
Unsupported	3

Alerts

`VALOR_A_PAGAR` is highly overall correlated with `valor_emprestimo` and 1 other fields	High correlation
`RENDA_MES_ANTERIOR` is highly overall correlated with `diff_renda`	High correlation
`meses_desde_cadastro` is highly overall correlated with `dias_desde_cadastro`	High correlation
`dias_desde_cadastro` is highly overall correlated with `SAFRA_REF` and 1 other fields	High correlation
`valor_emprestimo` is highly overall correlated with `VALOR_A_PAGAR` and 1 other fields	High correlation
`diff_renda` is highly overall correlated with `VALOR_A_PAGAR` and 2 other fields	High correlation
`tempo_sem_pagar` is highly overall correlated with `prazo_em_dias`	High correlation
`inadimplente` is highly overall correlated with `tempo_sem_pagar`	High correlation
`prazo_em_dias` is highly overall correlated with `tempo_sem_pagar`	High correlation
`SAFRA_REF` is highly overall correlated with `NO_FUNCIONARIOS` and 1 other fields	High correlation
`DDD` is highly overall correlated with `CEP_2_DIG`	High correlation
`CEP_2_DIG` is highly overall correlated with `DDD`	High correlation
`NO_FUNCIONARIOS` is highly overall correlated with `SAFRA_REF`	High correlation
`tempo_sem_pagar` is highly skewed (γ1 = -45.01485734)	Skewed
`prazo_em_dias` is highly skewed (γ1 = 43.88720817)	Skewed
`SEGMENTO_INDUSTRIAL` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`DOMINIO_EMAIL` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`PORTE` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`DDD` has 7583 (9.8%) zeros	Zeros
`RENDA_MES_ANTERIOR` has 1570 (2.0%) zeros	Zeros
`NO_FUNCIONARIOS` has 1767 (2.3%) zeros	Zeros
`tempo_sem_pagar` has 60742 (78.5%) zeros	Zeros
`ultima_data_emprestimo` has 9650 (12.5%) zeros	Zeros

Reproduction

Analysis started	2022-12-16 15:51:10.456432
Analysis finished	2022-12-16 15:51:58.246011
Duration	47.79 seconds
Software version	pandas-profiling vv3.5.0
Download configuration	config.json

ID_CLIENTE
Real number (ℝ)

Distinct	1248
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.6622701 × 10¹⁸

Minimum	8.7842371 × 10¹⁵
Maximum	9.2060308 × 10¹⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.2 MiB

Quantile statistics

Minimum	8.7842371 × 10¹⁵
5-th percentile	4.5929061 × 10¹⁷
Q1	2.3693649 × 10¹⁸
median	4.817817 × 10¹⁸
Q3	6.9693486 × 10¹⁸
95-th percentile	8.6099387 × 10¹⁸
Maximum	9.2060308 × 10¹⁸
Range	9.1972466 × 10¹⁸
Interquartile range (IQR)	4.5999837 × 10¹⁸

Descriptive statistics

Standard deviation	2.6657194 × 10¹⁸
Coefficient of variation (CV)	0.57176425
Kurtosis	-1.2274273
Mean	4.6622701 × 10¹⁸
Median Absolute Deviation (MAD)	2.3245111 × 10¹⁸
Skewness	-0.080216523
Sum	-4.0133142 × 10¹⁸
Variance	7.1060599 × 10³⁶
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6.96410875 × 10¹⁸	1151	1.5%
5.761480994 × 10¹⁸	1055	1.4%
4.008627435 × 10¹⁸	877	1.1%
8.173830875 × 10¹⁸	675	0.9%
6.916556752 × 10¹⁸	638	0.8%
7.930925884 × 10¹⁸	585	0.8%
4.592906068 × 10¹⁷	557	0.7%
4.045739495 × 10¹⁸	539	0.7%
7.325545719 × 10¹⁸	510	0.7%
3.355881108 × 10¹⁸	505	0.7%
Other values (1238)	70322	90.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
8.78423715 × 10¹⁵	241	0.3%
1.507004831 × 10¹⁶	5	< 0.1%
1.871961495 × 10¹⁶	7	< 0.1%
3.954702544 × 10¹⁶	70	0.1%
4.326664122 × 10¹⁶	9	< 0.1%
4.963290558 × 10¹⁶	47	0.1%
6.62200874 × 10¹⁶	61	0.1%
6.97663625 × 10¹⁶	45	0.1%
8.611006299 × 10¹⁶	93	0.1%
8.643695504 × 10¹⁶	1	< 0.1%

Value	Count	Frequency (%)
9.20603081 × 10¹⁸	104	0.1%
9.205015187 × 10¹⁸	26	< 0.1%
9.184785003 × 10¹⁸	121	0.2%
9.175443729 × 10¹⁸	6	< 0.1%
9.161263096 × 10¹⁸	36	< 0.1%
9.156666134 × 10¹⁸	36	< 0.1%
9.142266044 × 10¹⁸	9	< 0.1%
9.127318191 × 10¹⁸	57	0.1%
9.108733472 × 10¹⁸	64	0.1%
9.101617111 × 10¹⁸	19	< 0.1%

SAFRA_REF
Categorical

Distinct	35
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.2 MiB

2021-05	2531
2021-06	2513
2020-11	2471
2019-10	2464
2019-12	2448
Other values (30)	64987

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	541898
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2018-08
2nd row	2018-08
3rd row	2018-08
4th row	2018-08
5th row	2018-08

Common Values

Value	Count	Frequency (%)
2021-05	2531	3.3%
2021-06	2513	3.2%
2020-11	2471	3.2%
2019-10	2464	3.2%
2019-12	2448	3.2%
2020-01	2414	3.1%
2020-10	2402	3.1%
2021-01	2393	3.1%
2020-09	2382	3.1%
2019-11	2377	3.1%
Other values (25)	53019	68.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2021-05	2531	3.3%
2021-06	2513	3.2%
2020-11	2471	3.2%
2019-10	2464	3.2%
2019-12	2448	3.2%
2020-01	2414	3.1%
2020-10	2402	3.1%
2021-01	2393	3.1%
2020-09	2382	3.1%
2019-11	2377	3.1%
Other values (25)	53019	68.5%

Most occurring characters

Value	Count	Frequency (%)
0	167486	30.9%
2	131314	24.2%
1	85794	15.8%
-	77414	14.3%
9	34166	6.3%
8	14793	2.7%
6	6796	1.3%
5	6752	1.2%
3	6557	1.2%
4	6196	1.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	464484	85.7%
Dash Punctuation	77414	14.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	167486	36.1%
2	131314	28.3%
1	85794	18.5%
9	34166	7.4%
8	14793	3.2%
6	6796	1.5%
5	6752	1.5%
3	6557	1.4%
4	6196	1.3%
7	4630	1.0%

Dash Punctuation

Value	Count	Frequency (%)
-	77414	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	541898	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	167486	30.9%
2	131314	24.2%
1	85794	15.8%
-	77414	14.3%
9	34166	6.3%
8	14793	2.7%
6	6796	1.3%
5	6752	1.2%
3	6557	1.2%
4	6196	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	541898	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	167486	30.9%
2	131314	24.2%
1	85794	15.8%
-	77414	14.3%
9	34166	6.3%
8	14793	2.7%
6	6796	1.3%
5	6752	1.2%
3	6557	1.2%
4	6196	1.1%

DATA_EMISSAO_DOCUMENTO
Date

Distinct	1040
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	1.2 MiB

Minimum	2018-08-17 00:00:00
Maximum	2021-06-30 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

DATA_PAGAMENTO
Date

Distinct	921
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Memory size	1.2 MiB

Minimum	2018-06-19 00:00:00
Maximum	2021-11-24 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

DATA_VENCIMENTO
Date

Distinct	955
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Memory size	1.2 MiB

Minimum	2017-11-27 00:00:00
Maximum	2027-03-31 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

VALOR_A_PAGAR
Real number (ℝ)

Distinct	68527
Distinct (%)	88.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	46565.461

Minimum	0.1
Maximum	4400000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.2 MiB

Quantile statistics

Minimum	0.1
5-th percentile	3234.859
Q1	18752.745
median	34751.35
Q3	60884.205
95-th percentile	128377.11
Maximum	4400000
Range	4399999.9
Interquartile range (IQR)	42131.46

Descriptive statistics

Standard deviation	46338.921
Coefficient of variation (CV)	0.99513503
Kurtosis	1153.2635
Mean	46565.461
Median Absolute Deviation (MAD)	18119.175
Skewness	16.283832
Sum	3.6048186 × 10⁹
Variance	2.1472956 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1182	618	0.8%
999	246	0.3%
945.6	171	0.2%
360	130	0.2%
1341	93	0.1%
591	73	0.1%
1063.8	54	0.1%
499	50	0.1%
1064	40	0.1%
300	31	< 0.1%
Other values (68517)	75908	98.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.1	1	< 0.1%
0.4	1	< 0.1%
0.45	1	< 0.1%
0.7	1	< 0.1%
5.17	1	< 0.1%
5.5	1	< 0.1%
5.78	1	< 0.1%
5.95	1	< 0.1%
6	1	< 0.1%
6.22	1	< 0.1%

Value	Count	Frequency (%)
4400000	1	< 0.1%
2250000	1	< 0.1%
1697544.07	1	< 0.1%
1500000	1	< 0.1%
1391835.2	1	< 0.1%
1325000	1	< 0.1%
1210000	1	< 0.1%
1200000	1	< 0.1%
1160000	1	< 0.1%
1000000	1	< 0.1%

TAXA
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.2 MiB

5.99	26459
6.99	22021
4.99	15703
8.99	7934
11.99	5297

Length

Max length	5
Median length	4
Mean length	4.0684243
Min length	4

Characters and Unicode

Total characters	314953
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	6.99
2nd row	6.99
3rd row	6.99
4th row	6.99
5th row	6.99

Common Values

Value	Count	Frequency (%)
5.99	26459	34.2%
6.99	22021	28.4%
4.99	15703	20.3%
8.99	7934	10.2%
11.99	5297	6.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
5.99	26459	34.2%
6.99	22021	28.4%
4.99	15703	20.3%
8.99	7934	10.2%
11.99	5297	6.8%

Most occurring characters

Value	Count	Frequency (%)
9	154828	49.2%
.	77414	24.6%
5	26459	8.4%
6	22021	7.0%
4	15703	5.0%
1	10594	3.4%
8	7934	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	237539	75.4%
Other Punctuation	77414	24.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
9	154828	65.2%
5	26459	11.1%
6	22021	9.3%
4	15703	6.6%
1	10594	4.5%
8	7934	3.3%

Other Punctuation

Value	Count	Frequency (%)
.	77414	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	314953	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
9	154828	49.2%
.	77414	24.6%
5	26459	8.4%
6	22021	7.0%
4	15703	5.0%
1	10594	3.4%
8	7934	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	314953	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
9	154828	49.2%
.	77414	24.6%
5	26459	8.4%
6	22021	7.0%
4	15703	5.0%
1	10594	3.4%
8	7934	2.5%

DATA_CADASTRO
Date

Distinct	732
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	1.2 MiB

Minimum	2000-08-15 00:00:00
Maximum	2021-06-23 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

DDD
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct	75
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	37.859754

Minimum	0
Maximum	99
Zeros	7583
Zeros (%)	9.8%
Negative	0
Negative (%)	0.0%
Memory size	1.2 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	12
median	33
Q3	62
95-th percentile	91
Maximum	99
Range	99
Interquartile range (IQR)	50

Descriptive statistics

Standard deviation	27.760574
Coefficient of variation (CV)	0.73324761
Kurtosis	-0.8790892
Mean	37.859754
Median Absolute Deviation (MAD)	22
Skewness	0.45143865
Sum	2930875
Variance	770.64948
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11	8583	11.1%
0	7583	9.8%
31	3030	3.9%
19	2741	3.5%
21	2672	3.5%
41	2415	3.1%
71	2364	3.1%
62	2324	3.0%
43	2219	2.9%
12	1611	2.1%
Other values (65)	41872	54.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	7583	9.8%
1	389	0.5%
2	212	0.3%
3	18	< 0.1%
4	257	0.3%
5	86	0.1%
6	300	0.4%
7	18	< 0.1%
8	191	0.2%
9	143	0.2%

Value	Count	Frequency (%)
99	611	0.8%
98	636	0.8%
95	224	0.3%
94	653	0.8%
93	420	0.5%
92	362	0.5%
91	1026	1.3%
88	457	0.6%
87	301	0.4%
86	519	0.7%

FLAG_PF
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.2 MiB

0	77195
1	219

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	77414
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	77195	99.7%
1	219	0.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	77195	99.7%
1	219	0.3%

Most occurring characters

Value	Count	Frequency (%)
0	77195	99.7%
1	219	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	77414	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	77195	99.7%
1	219	0.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	77414	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	77195	99.7%
1	219	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	77414	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	77195	99.7%
1	219	0.3%

SEGMENTO_INDUSTRIAL
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	1.2 MiB

DOMINIO_EMAIL
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	1.2 MiB

PORTE
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	1.2 MiB

CEP_2_DIG
Real number (ℝ)

Distinct	90
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	53.320653

Minimum	0
Maximum	99
Zeros	8
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.2 MiB

Quantile statistics

Minimum	0
5-th percentile	13
Q1	29
median	54
Q3	79
95-th percentile	95
Maximum	99
Range	99
Interquartile range (IQR)	50

Descriptive statistics

Standard deviation	27.876572
Coefficient of variation (CV)	0.52281003
Kurtosis	-1.412881
Mean	53.320653
Median Absolute Deviation (MAD)	25
Skewness	0.012713365
Sum	4127765
Variance	777.10327
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
13	3888	5.0%
35	2845	3.7%
68	2603	3.4%
89	2588	3.3%
86	2135	2.8%
37	2107	2.7%
12	2076	2.7%
78	2067	2.7%
75	1773	2.3%
38	1673	2.2%
Other values (80)	53659	69.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	8	< 0.1%
11	914	1.2%
12	2076	2.7%
13	3888	5.0%
14	1381	1.8%
15	1245	1.6%
16	728	0.9%
17	751	1.0%
18	624	0.8%
19	837	1.1%

Value	Count	Frequency (%)
99	841	1.1%
98	1081	1.4%
97	490	0.6%
96	682	0.9%
95	1181	1.5%
94	213	0.3%
93	902	1.2%
92	296	0.4%
91	163	0.2%
90	498	0.6%

RENDA_MES_ANTERIOR
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct	18249
Distinct (%)	23.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	285130.1

Minimum	0
Maximum	1682759
Zeros	1570
Zeros (%)	2.0%
Negative	0
Negative (%)	0.0%
Memory size	1.2 MiB

Quantile statistics

Minimum	0
5-th percentile	31618
Q1	126902
median	235330
Q3	391492
95-th percentile	703707
Maximum	1682759
Range	1682759
Interquartile range (IQR)	264590

Descriptive statistics

Standard deviation	214887.8
Coefficient of variation (CV)	0.75364825
Kurtosis	2.4978554
Mean	285130.1
Median Absolute Deviation (MAD)	124555
Skewness	1.3428007
Sum	2.2073062 × 10¹⁰
Variance	4.6176767 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1570	2.0%
120152	91	0.1%
168672	72	0.1%
118073	55	0.1%
415262	51	0.1%
703707	51	0.1%
293852	49	0.1%
260432	45	0.1%
444595	45	0.1%
466768	42	0.1%
Other values (18239)	75343	97.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1570	2.0%
105	8	< 0.1%
154	2	< 0.1%
216	7	< 0.1%
258	19	< 0.1%
352	6	< 0.1%
402	2	< 0.1%
531	1	< 0.1%
549	1	< 0.1%
632	4	< 0.1%

Value	Count	Frequency (%)
1682759	5	< 0.1%
1646635	4	< 0.1%
1634789	5	< 0.1%
1622248	4	< 0.1%
1614315	7	< 0.1%
1613297	3	< 0.1%
1592917	1	< 0.1%
1583291	4	< 0.1%
1498812	2	< 0.1%
1478508	1	< 0.1%

NO_FUNCIONARIOS
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct	128
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	115.21209

Minimum	0
Maximum	198
Zeros	1767
Zeros (%)	2.3%
Negative	0
Negative (%)	0.0%
Memory size	1.2 MiB

Quantile statistics

Minimum	0
5-th percentile	84
Q1	105
median	117
Q3	130
95-th percentile	147
Maximum	198
Range	198
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	25.020656
Coefficient of variation (CV)	0.21717039
Kurtosis	8.0513549
Mean	115.21209
Median Absolute Deviation (MAD)	13
Skewness	-2.0341903
Sum	8919029
Variance	626.03321
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
117	1859	2.4%
116	1837	2.4%
122	1836	2.4%
120	1790	2.3%
0	1767	2.3%
111	1691	2.2%
121	1689	2.2%
118	1627	2.1%
112	1613	2.1%
125	1607	2.1%
Other values (118)	60098	77.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1767	2.3%
60	5	< 0.1%
61	5	< 0.1%
62	1	< 0.1%
63	6	< 0.1%
64	10	< 0.1%
65	4	< 0.1%
66	16	< 0.1%
67	37	< 0.1%
68	7	< 0.1%

Value	Count	Frequency (%)
198	1	< 0.1%
187	2	< 0.1%
186	1	< 0.1%
185	7	< 0.1%
182	7	< 0.1%
181	6	< 0.1%
180	1	< 0.1%
179	4	< 0.1%
178	7	< 0.1%
177	8	< 0.1%

tempo_sem_pagar
Real number (ℝ)

HIGH CORRELATION
SKEWED
ZEROS

Distinct	317
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-0.17142894

Minimum	-2661
Maximum	869
Zeros	60742
Zeros (%)	78.5%
Negative	7906
Negative (%)	10.2%
Memory size	1.2 MiB

Quantile statistics

Minimum	-2661
5-th percentile	-3
Q1	0
median	0
Q3	0
95-th percentile	6
Maximum	869
Range	3530
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	25.229477
Coefficient of variation (CV)	-147.17163
Kurtosis	3650.6049
Mean	-0.17142894
Median Absolute Deviation (MAD)	0
Skewness	-45.014857
Sum	-13271
Variance	636.5265
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	60742	78.5%
-1	2841	3.7%
1	1898	2.5%
5	955	1.2%
-3	815	1.1%
7	718	0.9%
6	700	0.9%
2	602	0.8%
-2	583	0.8%
3	525	0.7%
Other values (307)	7035	9.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-2661	1	< 0.1%
-2070	1	< 0.1%
-1896	2	< 0.1%
-1303	1	< 0.1%
-1297	1	< 0.1%
-1284	1	< 0.1%
-1229	1	< 0.1%
-1224	1	< 0.1%
-1183	1	< 0.1%
-1105	1	< 0.1%

Value	Count	Frequency (%)
869	1	< 0.1%
541	1	< 0.1%
522	1	< 0.1%
458	1	< 0.1%
400	1	< 0.1%
379	1	< 0.1%
370	1	< 0.1%
365	1	< 0.1%
331	1	< 0.1%
329	1	< 0.1%

inadimplente
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.2 MiB

0	71978
1	5436

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	77414
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	71978	93.0%
1	5436	7.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	71978	93.0%
1	5436	7.0%

Most occurring characters

Value	Count	Frequency (%)
0	71978	93.0%
1	5436	7.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	77414	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	71978	93.0%
1	5436	7.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	77414	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	71978	93.0%
1	5436	7.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	77414	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	71978	93.0%
1	5436	7.0%

prazo_em_dias
Real number (ℝ)

HIGH CORRELATION
SKEWED

Distinct	244
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	23.320575

Minimum	-420
Maximum	2677
Zeros	0
Zeros (%)	0.0%
Negative	27
Negative (%)	< 0.1%
Memory size	1.2 MiB

Quantile statistics

Minimum	-420
5-th percentile	16
Q1	16
median	18
Q3	24
95-th percentile	45
Maximum	2677
Range	3097
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	26.137018
Coefficient of variation (CV)	1.1207707
Kurtosis	3168.4273
Mean	23.320575
Median Absolute Deviation (MAD)	2
Skewness	43.887208
Sum	1805339
Variance	683.1437
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
16	19239	24.9%
18	10131	13.1%
17	9160	11.8%
22	4776	6.2%
19	4640	6.0%
20	4548	5.9%
25	2545	3.3%
21	2455	3.2%
36	1793	2.3%
30	1769	2.3%
Other values (234)	16358	21.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-420	1	< 0.1%
-320	1	< 0.1%
-319	1	< 0.1%
-256	1	< 0.1%
-187	1	< 0.1%
-110	2	< 0.1%
-107	2	< 0.1%
-74	1	< 0.1%
-67	1	< 0.1%
-62	1	< 0.1%

Value	Count	Frequency (%)
2677	1	< 0.1%
2107	1	< 0.1%
1911	2	< 0.1%
1318	2	< 0.1%
1313	1	< 0.1%
1244	2	< 0.1%
1198	1	< 0.1%
1124	1	< 0.1%
1069	1	< 0.1%
1040	1	< 0.1%

meses_desde_cadastro
Real number (ℝ)

Distinct	252
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	117.88077

Minimum	-1
Maximum	250
Zeros	88
Zeros (%)	0.1%
Negative	7
Negative (%)	< 0.1%
Memory size	1.2 MiB

Quantile statistics

Minimum	-1
5-th percentile	15
Q1	60
median	102
Q3	179
95-th percentile	243
Maximum	250
Range	251
Interquartile range (IQR)	119

Descriptive statistics

Standard deviation	74.58118
Coefficient of variation (CV)	0.63268317
Kurtosis	-1.0283621
Mean	117.88077
Median Absolute Deviation (MAD)	49
Skewness	0.4547474
Sum	9125622
Variance	5562.3524
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
91	750	1.0%
93	724	0.9%
104	721	0.9%
95	721	0.9%
97	720	0.9%
107	702	0.9%
99	700	0.9%
92	693	0.9%
94	692	0.9%
101	688	0.9%
Other values (242)	70303	90.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	7	< 0.1%
0	88	0.1%
1	163	0.2%
2	175	0.2%
3	196	0.3%
4	227	0.3%
5	253	0.3%
6	199	0.3%
7	237	0.3%
8	274	0.4%

Value	Count	Frequency (%)
250	532	0.7%
249	550	0.7%
248	538	0.7%
247	553	0.7%
246	420	0.5%
245	478	0.6%
244	534	0.7%
243	526	0.7%
242	527	0.7%
241	508	0.7%

dias_desde_cadastro
Real number (ℝ)

Distinct	455
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3566.1491

Minimum	-1
Maximum	7663
Zeros	88
Zeros (%)	0.1%
Negative	7
Negative (%)	< 0.1%
Memory size	1.2 MiB

Quantile statistics

Minimum	-1
5-th percentile	369
Q1	1825
median	2927
Q3	5474
95-th percentile	7303
Maximum	7663
Range	7664
Interquartile range (IQR)	3649

Descriptive statistics

Standard deviation	2291.6023
Coefficient of variation (CV)	0.64259855
Kurtosis	-1.0082434
Mean	3566.1491
Median Absolute Deviation (MAD)	1460
Skewness	0.49440663
Sum	2.7606987 × 10⁸
Variance	5251441
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2919	710	0.9%
3284	702	0.9%
2921	693	0.9%
2920	660	0.9%
2923	648	0.8%
6939	642	0.8%
2924	628	0.8%
2562	627	0.8%
3285	621	0.8%
6937	621	0.8%
Other values (445)	70862	91.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	7	< 0.1%
0	88	0.1%
1	147	0.2%
2	135	0.2%
3	156	0.2%
4	137	0.2%
5	169	0.2%
6	102	0.1%
7	105	0.1%
8	116	0.1%

Value	Count	Frequency (%)
7663	532	0.7%
7662	550	0.7%
7661	538	0.7%
7660	553	0.7%
7659	420	0.5%
7658	478	0.6%
7304	534	0.7%
7303	526	0.7%
7302	527	0.7%
7301	508	0.7%

valor_emprestimo
Real number (ℝ)

Distinct	70419
Distinct (%)	91.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	43626.239

Minimum	0.093466679
Maximum	4112533.9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.2 MiB

Quantile statistics

Minimum	0.093466679
5-th percentile	3021.7229
Q1	17547.345
median	32541.981
Q3	57088.05
95-th percentile	120220.81
Maximum	4112533.9
Range	4112533.8
Interquartile range (IQR)	39540.705

Descriptive statistics

Standard deviation	43466.58
Coefficient of variation (CV)	0.99634029
Kurtosis	1142.5027
Mean	43626.239
Median Absolute Deviation (MAD)	16954.432
Skewness	16.249908
Sum	3.3772816 × 10⁹
Variance	1.8893435 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1115.199547	195	0.3%
1104.776147	192	0.2%
1125.821507	127	0.2%
933.7321245	80	0.1%
942.5417492	73	0.1%
892.1596377	65	0.1%
1084.503165	54	0.1%
883.8209178	52	0.1%
1055.45138	50	0.1%
951.5191923	47	0.1%
Other values (70409)	76479	98.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.09346667913	1	< 0.1%
0.3738667165	1	< 0.1%
0.4286122488	1	< 0.1%
0.6250558086	1	< 0.1%
4.832227311	1	< 0.1%
5.238594152	1	< 0.1%
5.453344655	1	< 0.1%
5.613737145	1	< 0.1%
5.660911407	1	< 0.1%
5.92437375	1	< 0.1%

Value	Count	Frequency (%)
4112533.882	1	< 0.1%
2122841.778	1	< 0.1%
1601607.765	1	< 0.1%
1415227.852	1	< 0.1%
1300902.14	1	< 0.1%
1262024.955	1	< 0.1%
1152490.713	1	< 0.1%
1142965.997	1	< 0.1%
1084213.478	1	< 0.1%
943485.2345	1	< 0.1%

diff_renda
Real number (ℝ)

Distinct	72923
Distinct (%)	94.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	238564.64

Minimum	-4017272
Maximum	1666948.5
Zeros	0
Zeros (%)	0.0%
Negative	6221
Negative (%)	8.0%
Memory size	1.2 MiB

Quantile statistics

Minimum	-4017272
5-th percentile	-19583.156
Q1	80617.702
median	192231.27
Q3	345820
95-th percentile	662991.98
Maximum	1666948.5
Range	5684220.5
Interquartile range (IQR)	265202.3

Descriptive statistics

Standard deviation	219497.44
Coefficient of variation (CV)	0.92007533
Kurtosis	4.5285117
Mean	238564.64
Median Absolute Deviation (MAD)	127027.79
Skewness	1.1264315
Sum	1.8468243 × 10¹⁰
Variance	4.8179126 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-1182	29	< 0.1%
-26498.5	13	< 0.1%
299159	9	< 0.1%
335996.49	9	< 0.1%
58693	9	< 0.1%
199585.51	8	< 0.1%
399700	8	< 0.1%
227340.75	8	< 0.1%
-945.6	8	< 0.1%
234044.49	8	< 0.1%
Other values (72913)	77305	99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-4017272	1	< 0.1%
-2190198	1	< 0.1%
-1619335.07	1	< 0.1%
-1444077	1	< 0.1%
-1267730	1	< 0.1%
-1081481	1	< 0.1%
-991929	1	< 0.1%
-901252	1	< 0.1%
-850889.2	1	< 0.1%
-787125	1	< 0.1%

Value	Count	Frequency (%)
1666948.46	1	< 0.1%
1662590.82	1	< 0.1%
1662150.07	1	< 0.1%
1645689.4	1	< 0.1%
1642923.5	1	< 0.1%
1633607	1	< 0.1%
1629676.63	1	< 0.1%
1605036.1	1	< 0.1%
1603360	1	< 0.1%
1602147.59	1	< 0.1%

len_credit_history
Real number (ℝ)

Distinct	238
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	205.55786

Minimum	1
Maximum	1151
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.2 MiB

Quantile statistics

Minimum	1
5-th percentile	22
Q1	82
median	129
Q3	241
95-th percentile	638
Maximum	1151
Range	1150
Interquartile range (IQR)	159

Descriptive statistics

Standard deviation	220.92867
Coefficient of variation (CV)	1.0747761
Kurtosis	6.590679
Mean	205.55786
Median Absolute Deviation (MAD)	65
Skewness	2.4746214
Sum	15913056
Variance	48809.478
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1151	1151	1.5%
1055	1055	1.4%
157	942	1.2%
877	877	1.1%
130	780	1.0%
375	750	1.0%
125	750	1.0%
124	744	1.0%
122	732	0.9%
102	714	0.9%
Other values (228)	68919	89.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	108	0.1%
2	128	0.2%
3	180	0.2%
4	220	0.3%
5	195	0.3%
6	204	0.3%
7	203	0.3%
8	192	0.2%
9	171	0.2%
10	150	0.2%

Value	Count	Frequency (%)
1151	1151	1.5%
1055	1055	1.4%
877	877	1.1%
675	675	0.9%
638	638	0.8%
585	585	0.8%
557	557	0.7%
539	539	0.7%
510	510	0.7%
505	505	0.7%

ultima_data_emprestimo
Real number (ℝ)

Distinct	382
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.556837

Minimum	0
Maximum	901
Zeros	9650
Zeros (%)	12.5%
Negative	0
Negative (%)	0.0%
Memory size	1.2 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	4
Q3	11
95-th percentile	35
Maximum	901
Range	901
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	26.462226
Coefficient of variation (CV)	2.5066434
Kurtosis	234.62211
Mean	10.556837
Median Absolute Deviation (MAD)	3
Skewness	12.226621
Sum	817247
Variance	700.24941
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	9650	12.5%
1	9532	12.3%
2	7821	10.1%
3	6529	8.4%
4	5475	7.1%
5	4246	5.5%
7	3998	5.2%
6	3630	4.7%
8	2533	3.3%
9	2091	2.7%
Other values (372)	21909	28.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	9650	12.5%
1	9532	12.3%
2	7821	10.1%
3	6529	8.4%
4	5475	7.1%
5	4246	5.5%
6	3630	4.7%
7	3998	5.2%
8	2533	3.3%
9	2091	2.7%

Value	Count	Frequency (%)
901	1	< 0.1%
846	1	< 0.1%
837	1	< 0.1%
833	1	< 0.1%
808	1	< 0.1%
727	1	< 0.1%
719	2	< 0.1%
714	2	< 0.1%
683	1	< 0.1%
672	1	< 0.1%

Auto

The auto setting is an interpretable pairwise column metric of the following mapping:

Variable_type-Variable_type : Method, Range
Categorical-Categorical : Cramer's V, [0,1]
Numerical-Categorical : Cramer's V, [0,1] (using a discretized numerical column)
Numerical-Numerical : Spearman's ρ, [-1,1]

The number of bins used in the discretization for the Numerical-Categorical column pair can be changed using config.correlations["auto"].n_bins. The number of bins affects the granularity of the association you wish to measure.

This configuration uses the recommended metric for each pair of columns.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	ID_CLIENTE	SAFRA_REF	DATA_EMISSAO_DOCUMENTO	DATA_PAGAMENTO	DATA_VENCIMENTO	VALOR_A_PAGAR	TAXA	DATA_CADASTRO	DDD	SEGMENTO_INDUSTRIAL	DOMINIO_EMAIL	PORTE	CEP_2_DIG	tempo_sem_pagar	inadimplente	prazo_em_dias	meses_desde_cadastro	dias_desde_cadastro	valor_emprestimo	diff_renda	len_credit_history	ultima_data_emprestimo
0	1661240395903230676	2018-08	2018-08-17	2018-09-06	2018-09-06	35516.41	6.99	2013-08-22	99.0	Serviços	YAHOO	PEQUENO	65.0	0	0	20	60	1825	33196.008973	-35516.41	116.0	0.0
1	1661240395903230676	2018-08	2018-08-19	2018-09-11	2018-09-10	17758.21	6.99	2013-08-22	99.0	Serviços	YAHOO	PEQUENO	65.0	1	0	22	60	1825	16598.009160	-17758.21	116.0	2.0
2	1661240395903230676	2018-08	2018-08-26	2018-09-18	2018-09-17	17431.96	6.99	2013-08-22	99.0	Serviços	YAHOO	PEQUENO	65.0	1	0	22	60	1825	16293.074119	-17431.96	116.0	7.0
3	1661240395903230676	2018-08	2018-08-30	2018-10-11	2018-10-05	1341.00	6.99	2013-08-22	99.0	Serviços	YAHOO	PEQUENO	65.0	6	1	36	60	1825	1253.388167	-1341.00	116.0	4.0
4	1661240395903230676	2018-08	2018-08-31	2018-09-20	2018-09-20	21309.85	6.99	2013-08-22	99.0	Serviços	YAHOO	PEQUENO	65.0	0	0	20	60	1825	19917.609122	-21309.85	116.0	1.0
5	8274986328479596038	2018-08	2018-08-17	2018-09-25	2018-09-25	48811.35	6.99	2017-01-25	31.0	Comércio	YAHOO	MEDIO	77.0	0	0	39	19	372	45622.347883	-48811.35	43.0	0.0
6	345447888460137901	2018-08	2018-08-17	2018-09-05	2018-09-05	55131.20	5.99	2000-08-15	75.0	Serviços	HOTMAIL	PEQUENO	48.0	0	0	19	216	6570	52015.473158	-55131.20	28.0	0.0
7	1003144834589372198	2018-08	2018-08-17	2018-09-03	2018-09-03	85855.04	6.99	2017-08-06	49.0	Serviços	OUTLOOK	PEQUENO	89.0	0	0	17	12	365	80245.854753	-85855.04	148.0	0.0
8	324916756972236008	2018-08	2018-08-17	2018-09-03	2018-09-03	42072.00	5.99	2011-02-14	88.0	Serviços	GMAIL	GRANDE	62.0	0	0	17	90	2561	39694.310784	-42072.00	252.0	0.0
9	324916756972236008	2018-08	2018-08-19	2018-09-05	2018-09-05	21071.97	5.99	2011-02-14	88.0	Serviços	GMAIL	GRANDE	62.0	0	0	17	90	2561	19881.092556	-21071.97	252.0	2.0

	ID_CLIENTE	SAFRA_REF	DATA_EMISSAO_DOCUMENTO	DATA_PAGAMENTO	DATA_VENCIMENTO	VALOR_A_PAGAR	TAXA	DATA_CADASTRO	DDD	SEGMENTO_INDUSTRIAL	DOMINIO_EMAIL	PORTE	CEP_2_DIG	RENDA_MES_ANTERIOR	NO_FUNCIONARIOS	prazo_em_dias	meses_desde_cadastro	dias_desde_cadastro	valor_emprestimo	diff_renda	len_credit_history	ultima_data_emprestimo
77404	511305041047444825	2021-06	2021-06-30	2021-07-16	2021-07-16	49318.20	11.99	2011-02-14	79.0	Serviços	YAHOO	GRANDE	49.0	183354.0	87.0	16	124	3654	44038.039111	134035.80	82.0	27.0
77405	8252215766413781202	2021-06	2021-06-30	2021-08-16	2021-08-16	65599.60	5.99	2011-02-14	53.0	Comércio	YAHOO	MEDIO	96.0	1178103.0	109.0	47	124	3654	61892.253986	1112503.40	40.0	41.0
77406	8480109508191086169	2021-06	2021-06-30	2021-07-16	2021-07-16	95487.05	5.99	2011-02-14	11.0	Indústria	GMAIL	PEQUENO	40.0	241007.0	126.0	16	124	3654	90090.621757	145519.95	77.0	15.0
77407	7686361238195690925	2021-06	2021-06-30	2021-07-16	2021-07-16	25979.95	6.99	2014-02-02	49.0	Serviços	AOL	PEQUENO	89.0	445981.0	145.0	16	88	2559	24282.596504	420001.05	146.0	17.0
77408	4530631557358349711	2021-06	2021-06-30	2021-07-16	2021-07-16	63971.51	5.99	2000-08-15	11.0	Serviços	HOTMAIL	PEQUENO	55.0	139142.0	116.0	16	250	7663	60356.175111	75170.49	125.0	16.0
77409	2951563549197799278	2021-06	2021-06-30	2021-07-16	2021-07-16	89980.00	5.99	2000-08-15	11.0	Comércio	AOL	PEQUENO	13.0	280343.0	161.0	16	250	7663	84894.801396	190363.00	127.0	31.0
77410	5220206408301580591	2021-06	2021-06-30	2021-08-16	2021-08-16	42239.00	5.99	2021-04-08	19.0	Indústria	GMAIL	GRANDE	25.0	235315.0	87.0	47	2	2	39851.872818	193076.00	2.0	21.0
77411	5860276371789140450	2021-06	2021-06-30	2021-07-16	2021-07-16	20921.50	5.99	2011-02-15	91.0	Serviços	HOTMAIL	GRANDE	67.0	100006.0	126.0	16	124	3654	19739.126333	79084.50	161.0	17.0
77412	2814790209436551216	2021-06	2021-06-30	2021-07-16	2021-07-16	90231.05	6.99	2021-05-13	1.0	Serviços	YAHOO	MEDIO	14.0	0.0	0.0	16	1	1	84335.965978	-90231.05	1.0	0.0
77413	8343941262792249232	2021-06	2021-06-30	2021-08-16	2021-08-16	20736.51	4.99	2019-05-28	11.0	Indústria	HOTMAIL	GRANDE	31.0	97599.0	116.0	47	25	731	19750.938185	76862.49	100.0	15.0

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Auto

Spearman's ρ

Pearson's r

Kendall's τ

Cramér's V (φc)

Phik (φk)

Missing values

Sample